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Introduction The temperature of induction motor windings is known to affect the operating modes of the electric drive, particularly static mechanical characteristics and it also violates the settings of optimal control systems on any indicator of quality.
In [1] the effect of temperature on static mechanical properties of the traction electric drive with induction motor ED-900 is investigated.
So the question of studying thermal properties of asynchronous traction motor as the first object of temperature control arises in this connection.
Mechanical model of the traction drive is also a part of power unit.
Thus, the mismatch of signals from shaft revolution detectors (the scaling factors should be taken into account) will make it possible to define the modes of stalled connection and its elimination by introducing a corrective signal to the control system.

Introduction The concept of using a 'plastic inclusion' was proposed by Eshelby [1] as a useful mathematical approach to dealing with 'composite' materials, i.e. those where part of the material has undergone an 'instantaneous' change in properties, such as in a phase transformed zone or a region of plasticity.
It shows the variation in the three new stress intensity factors through a tensile half cycle of loading.
Christensen: Fatigue crack growth affected by metal fragments wedged between opening-closing crack surfaces, Appl.
Patterson, Determination of predominantly mode II stress intensity factors from isochromatic data, Fatigue Fract.
Gidley, Influence of cyclic fatigue on the mechanical properties of amorphous polycarbonate, Polymer 36 No. 4, (1995), pp.759-765

Introduction Aluminium is a noteworthy material for many applications such as aerospace, automotive because of its low density, high strength to weight ratio, high thermal conductivity, high specific strength and good corrosion resistance but their low hardness and poor wear-resistant properties challenge their applications [1, 2].
Earlier literature shows a large variety of ceramic particles were combined in various aluminium alloys in order to obtain improved physical and wear properties [3-6].
Considering the accomplishment of GRA, in the present work an attempt is made by employing TGRA technique to optimize the wear behaviour of AA7075-TiC in-situ composites, taking weight percentage of reinforcement, load, sliding velocity and sliding distance as control factors.
For studying the effect of TiC reinforcement on the wear properties, pure AA7075, AA7075+4%TiC and AA7075+8%TiC are produced by casting.
Before optimization the raw output responses are normalized between 0 to 1 based on the following quality characteristics by following relationships [9] Larger the better (5) Smaller the better (6) where, i = 1... m; k = 1... n; m is the number of experiments; n is the number factors; denotes the normalizing sequence; denotes original or comparability sequence.

Introduction Wood as a building material is widely used in construction and architecture due to its mechanical and operational properties, but due to its high flammability is considered to be a flammable material [1, 2].
In [8] the fire-retardant ability was investigated according to such combustion characteristics as weight loss, burning rate, maximum burning rate, but the chemical changes caused by the influence of these factors were not indicated.
In addition, many coatings have a number of disadvantages, such as the application of individual components, the loss of functional properties with increasing ambient temperature [13].
This composition forms on the surface of the wood a swollen layer of foam coke which effectively counteracts the temperature which is confirmed by the efficiency factor.
Li, Flame retardancy and thermal degradation properties of polypropylene/wood flour composite modified with aluminum hypophosphite/melamine cyanurate, Journal of Thermal Analysis and Calorimetry. (2018) 1-9

A commonly used multilayered structural design is that associated with the presence of compressive residual stresses developed in the laminate during cooling from sintering, as related to differences in elastic or thermal properties (Young's modulus, thermal expansion coefficient, etc.) between the layers [4-6].
Such stress distribution may affect the mechanical response of the material influencing the structural integrity of a given component.
The finite element model employed was a nine-layer structure, whose layer properties, i.e.
Regarding thermal properties, the thermal expansion coefficients (αΑΤΖ = 9.82 x 10 -6 K -1 and αAMZ = 8.02 x 10-6 K -1) were discretely introduced in the model from data corresponding to dilatometer curves, considering 1200 °C as the reference stress-free-state temperature.
Additionally, the tri-axial stress state at the surface of the laminate due to edge surface effects may affect the magnitude of the stresses measured by X-rays.

Its structure, morphology and properties were characterized by Ubbelohde viscometer, Fourier transform infrared spectroscopy (FT-IR), Differential scanning calorimetry (DSC), polarized optical microscopy (POM) with a hot stage, and wide-angle X-ray diffraction (WAXD).
Among main chain thermotropic liquid crystalline polymers, wholly aromatic thermotropic polyesters are particularly attractive, which have received considerable attention due to their convenient use temperatures, excellent chemical resistance, relatively high glass transition temperature (Tg) as well as their excellent processing and mechanical properties[2].
C O O CH2 O O n C O O C O C O In addition, the backbone flexibility is another important factor.
Intrinsic viscosity and thermal properties of PHBT, PHDT and PHET Structure ηinh /(dL/g) Tm/(℃) ∆Hm/(J/g) Yield/(%) PHET PHBT 0.2103 0.0881 177.5 224.1 15.31 29.33 85 90 PHDT 0.1500 183.2 17.89 87 The typical infrared spectrum of PHBT, PHDT, and PHET are shown in Fig. 1.
Particularly, the d value of PHET calculated from the peak B was quite different from that of PHBT and PHDT, suggesting that the introduction of oxymethacryloyl group can significantly affect the crystalline degree.

Introduction In our life, there is noise everywhere and the noise pollution has become one of the three pollution in the world, which not only affects the people's health and the people's normal work and rest, but also is the main root of reduce worker's efficiency and causes of all kinds of accidents, therefore the noise must be controlled.
is the sound propagation speed of the first layer absorption material. . is the elastic modulus of the first layer sound absorption material. is the density of the first layer sound absorption material. is the structure loss factor of the first layer sound absorption material. is the transmission wave number of the first layer sound absorption material, .
Thus for multi-layer sound absorption material properties of transfer transmission matrix provides theory basis Conclusion According to the domestic and foreign other scholars’ research results, the characteristics of the transmission matrix of the absorption material of the automotive body are researched in this paper.
Underwater uniform bilaminar sound-absorption properties research.
Acoustic properties of fibrous absorbent material.

The acceptance of FRP materials in bridge engineering is mainly due to their superior properties such as high strength, better durability, corrosion resistance, and fatigue resistance.
Equations of Vehicle-Bridge Using the displacement relationship and the interaction force relationship at the contact, and setting the equations (3-5) into the equations (1-2), the vehicle-bridge coupled system can be established by combining the equations of motion of both the bridge and vehicles as follows: (6) Comparing with Eqs. (1) and (2), there are additional terms Cbb, Cbv, Cvb, Kbb, Kbv, Kvb, Fbr , and Fvr in Eq. 6, which are due to the contact interaction force. 2 Road Surface Profile The road surface profile is an important factor that affects the dynamic responses of both the bridge and the vehicles.
The geometry of this sandwich structure is designed to improve stiffness and buckling response by the continuous support of core elements with the face laminates. 3.1 Finite-element model A 3D linear elastic finite-element model of the Crawford County Bridge was constructed for both static and modal analyses with properties equivalent to the original sandwich panels.
The following parameters analysis of the vertical displacement and accelerations are shown in follows: Fig.4 V=10m/s displacement of mid-span Fig.5 V=10m/s acceleration of mid-span Fig.6 V=20m/s displacement of mid-span Fig.7 V=20m/s acceleration of mid-span Fig.8 V=40m/s displacement of mid-span Fig.9 V=40m/s acceleration of mid-span Dynamic Impact Factor (IMP)is shown in： (9) where，σd——maximum of dynamic stress；σs——maximum of staic stress。
Mechanical Vibration –Road Surface Profiles-Reporting of Measured Data, 1995, TC108/SC2, ISO, Switzerland.

Introduction Organic conductive polymers like polythiophene, polypyrrole, polyacetylene, polyaniline etc. have been extensively studied in last decades due to their extensive possibilities of application s based on their optical and electronic properties [1].
Due to various oxidation states, (PANI) has attracted considerable attention due to its specific electronic, thermoelectric, electrical and optical properties [2].
This is a favorable factor to have higher conductivity values. 5.
Summary The doping process induces structural and chemical changes in the host polymer matrix, which leads to the changes in optical and electrical properties significantly.
MacDiarmid, Optical properties of polyaniline, Polymer. 34 (1993) 1833-1845

Therefore, facilitating the sharing and reuse of data as well as avoiding redundant studies are key factors for success.
(ii) Auxiliary information describing properties and characteristics of utilized equipment.
Knowledge of equipment properties is needed to reduce uncertainty when identifying measured quantities of an experiment and investigating the plausibility of results.
Each type must be described via respectively characteristic properties to enable definite interpretation.
Discussion and Conclusion Facilitating the sharing and reuse of data as well as avoiding redundant studies are key factors for success within a collaborative research environment.